Publications of T Shen

Journal Article (1)

1.
Journal Article
Shen, T.; Dayan, P.: Individual differences in tail risk sensitive exploration using Bayes-adaptive Markov decision processes. eLife 13, RP100366 (2025)

Conference Paper (7)

2.
Conference Paper
Nagy, D.; Shen, K.; Zhou, H.; Wu, C.; Dayan, P.: Analogy making as amortised model construction. In: Second Reinforcement Learning Conference (RLC 2025). Second Reinforcement Learning Conference (RLC 2025), Edmonton, AB, Canada, August 05, 2025 - August 09, 2025. (2025)
3.
Conference Paper
Sarıtaş, K.; Dayan, P.; Shen, K.; Nath, S.: Complexity in Complexity: Understanding Visual Complexity Through Structure, Color, and Surprise. In: Proceedings of the 47th Annual Conference of the Cognitive Science Society, V5-S-60, pp. 2623 - 2630 (Eds. Barner, D.; Bramley, N.; Ruggeri, A.; Walker, C.). 47th Annual Meeting of the Cognitive Science Society (CogSci 2025): Theories of the Past, Theories of the Future , San Francisco, CA, USA, July 30, 2025 - August 02, 2025. (2025)
4.
Conference Paper
Sarıtaş, K.; Dayan, P.; Shen, K.; Nath, S.: Complexity in Complexity: Understanding Visual Complexity Through Structure, Color, and Surprise. In: ICLR 2025 Workshop on Representational Alignment (Re-Align). ICLR 2025 Workshop on Representational Alignment (Re-Align), Singapore, April 28, 2025. (2025)
5.
Conference Paper
Shen, T.; Nath, S.; Brielmann, A.; Dayan, P.: Simplicity in Complexity: Explaining Visual Complexity using Deep Segmentation Models. In: 46th Annual Conference of the Cognitive Science Society (CogSci 2024), pp. 2017 - 2024. 46th Annual Conference of the Cognitive Science Society (CogSci 2024), Rotterdam, The Netherlands, July 24, 2024 - July 27, 2024. (2024)
6.
Conference Paper
Nath, S.; Shen, K.; Brielmann, A.; Dayan, P.: Simplicity in Complexity. In: ICLR 2024 Workshop on Representational Alignment (Re-Align). ICLR 2024 Workshop on Representational Alignment (Re-Align), Wien, Austria, May 11, 2024. (2024)
7.
Conference Paper
Shen, T.; Dayan, P.: Risking your Tail: Curiosity, Danger & Exploration. In: 2023 Conference on Cognitive Computational Neuroscience, P-3.67, pp. 1113 - 1116. Conference on Cognitive Computational Neuroscience (CCN 2023), Oxford, UK, August 24, 2023 - August 27, 2023. (2023)
8.
Conference Paper
Shen, T.; Dayan, P.; Bányai, M.: Meta-cognitive planning for learning representations. In: 2023 Conference on Cognitive Computational Neuroscience, P-2.1, pp. 425 - 428. Conference on Cognitive Computational Neuroscience (CCN 2023), Oxford, UK, August 24, 2023 - August 27, 2023. (2023)

Meeting Abstract (1)

9.
Meeting Abstract
Nath, S.; Shen, K.; Dayan, P.; Brielmann, A.: Quantifying Complexity in Synthetic and Natural Images. In XXVIII Congress of the International Association of Empirical Aesthetics (IAEA 2024), p. 34. XXVIII Congress of the International Association of Empirical Aesthetics (IAEA 2024), Palma de Mallorca, Spain, May 08, 2024 - May 10, 2024. (2024)

Poster (1)

10.
Poster
Shen, T.; Dayan, P.: Risking your Tail: Curiosity, Danger and Exploration. 24th Conference of Junior Neuroscientists (NeNa 2023), Frankfurt a.M., Germany (2023)

Preprint (1)

11.
Preprint
Shen, T.; Dayan, P.: Risking your Tail: Curiosity, Danger and Exploration. (submitted)
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